Autonomous Agents and Multi-Agent Systems

Aims & Scope

The journal provides a leading forum for disseminating significant original research results in the foundations, theory, development, analysis, and applications of autonomous agents and multi-agent systems.

Specific topics of interest include, but are not restricted to: Agent decision-making architectures and their evaluation, including deliberative, practical reasoning, reactive/behavioural, plan-based, and hybrid architectures.

Cooperation and teamwork, including organizational structuring and design for multi-agent systems, self-organization, emergent functionality and swarm intelligence.

Multi-agent planning and planning for multi-agent systems, and the coordination of multi-agent plans and activities.

Computational auction systems, computational market systems, algorithmic/automated mechanism design, automated negotiation, computational aspects of game theory (cooperative and non-cooperative), and computational social choice theory.

Knowledge representation and reasoning for, and logical foundations of, autonomous agents and multi-agent systems.

Agent programming languages - their implementation, semantics, and evaluation.

Distributed constraint processing and distributed constraint optimization.

Multi-agent argumentation and dialogue, conflict detection and resolution.

Multi-agent learning, co-learning, and evolutionary approaches in multi-agent systems.

Learning agents, including: computational architectures for learning agents; evolution, adaptation; multi-agent learning.

Agent communication languages, their semantics, pragmatics, and implementation, and agent communication protocols and conversations.

Conventions, commitments, norms, obligations, and social laws in multi-agent systems, and models of trust and reputation.

Believable and synthetic agents and characters, and human-agent interaction.

Environments, testbeds, and programming languages for experimentation with, and analysis of, agent systems.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.6
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.738

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	7565

Journal Citation Indicator

Year	Value
2024	546

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Roadmap of Agent Research and Development

  Citation: 1066

  Authors: Nicholas R., Katia, Michael

• The Gaia Methodology for Agent-Oriented Analysis and Design

  Citation: 1024

  Authors: Michael, Nicholas R., David

• Tropos: An Agent-Oriented Software Development Methodology

  Citation: 1020

  Authors: Paolo, Anna, Paolo, Fausto, John

• Cooperative Multi-Agent Learning: The State of the Art

  Citation: 777

  Authors: Liviu, Sean

• An integrated trust and reputation model for open multi-agent systems

  Citation: 510

  Authors: Trung Dong, Nicholas R., Nigel R.

• A survey and critique of multiagent deep reinforcement learning

  Citation: 407

  Authors: Pablo, Bilal, Matthew E.

• TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources

  Citation: 329

  Authors: W. T. Luke, Jigar, Nicholas R., Michael

• A survey of point-based POMDP solvers

  Citation: 283

  Authors: Guy, Joelle, Robert

• FLAME—Fuzzy Logic Adaptive Model of Emotions

  Citation: 282

  Authors: Magy Seif, John, Thomas R.

• A model of a trust-based recommendation system on a social network

  Citation: 276

  Authors: Frank Edward, Stefano, Frank

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